Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
The engineer will work at the intersection of semiconductor process/integration engineering, Artificial Intelligence, Large Language Models (LLMs), predictive modeling, statistical learning, and AI-enabled automation to develop predictive and prescriptive models for advanced DRAM, HBM, and technology-transfer applications. The role will also contribute to scaling VPM through automation and SPOCK capabilities. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master's or Ph.D. in Electrical Engineering, Chemical Engineering, Mechanical Engineering, Materials Science, Applied Physics, Statistics, Data Science, Computer Science, or a related field
- Strong expertise in statistical analysis, experimental design, optimization, machine learning, and predictive modeling
- Experience developing analytical and machine learning models using Python or similar scientific computing environments
- Understanding of AI, Generative AI, Large Language Models (LLMs), and AI-enabled engineering workflows, with the ability to combine data-driven insights with process and physical understanding
- Excellent analytical, communication, and multi-functional collaboration skills to drive technical solutions and business outcomes
More about this role
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Advanced Modeling & AI Solutions team is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models, composite modeling solutions, and scalable modeling workflows within our Virtual Process Modeling (VPM) and SPOCK program using Machine Learning, Generative AI, and Agentic AI solutions.
The engineer will work at the intersection of semiconductor process/integration engineering, Artificial Intelligence, Large Language Models (LLMs), predictive modeling, statistical learning, and AI-enabled automation to develop predictive and prescriptive models for advanced DRAM, HBM, and technology-transfer applications. The role will also contribute to scaling VPM through automation and SPOCK capabilities. Current FY27 SPOCK work includes VPM composite-models, UC7, VPM UI ecosystem, MIND/App Hub, and agentic orchestration.
- Develop and deploy VPM...
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